BIG DATA & IoT INSIGHTS
Expert insights into big data, Internet of Things, and beyond
Recent Big Data Insights
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Edge computingWith traditional methods, data is captured, stored and analyzed later – limiting how quickly businesses can act on insights from the data. With edge computing, IoT data is processed at the edge of a network – right where it’s created or collected – avoiding delays and enabling real-time processing and action.
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IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behavior to emotions to health. And that's why it's key to improving customer experience.
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How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
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IT/OT convergence: The dilemma of the IoT perception gapThe IoT phenomenon demands intimate collaboration between information technology (IT) and operational technology (OT). But IT and OT have distinct gaps in perception about the goals and outcomes of IoT initiatives. Tom Bradicich explains why IT/OT convergence is essential for successful IoT projects.
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IoT in healthcare: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened healthcare systems around the world – we can’t afford not to integrate IoT in healthcare.
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Meet the data scientist: Kristin CarneyWhen Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
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Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
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Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
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Connected vehicles: IoT steers a new direction for OEMsWith IoT and analytics, automakers and their partners can reshape business models, find new ways to monetize data and serve customers better.
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IoT challenges in the connected supply chainThe IoT Is set to revolutionize supply chain management, but there are certain challenges it must overcome first. Here’s what you need to know.
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Artificial intelligence, machine learning, deep learning and moreArtificial intelligence, machine learning and deep learning are set to change the way we live and work. How do they relate and how are they changing our world?
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Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
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IoT in manufacturing: Voices from the fieldThe Internet of Things (IoT) is a transforming the manufacturing industry. Learn how the concept of connected devices can power smart manufacturing.
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The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
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How do free-to-play video games earn big profits?How does the industry leader of free-to-play, massively multiplayer online games scale its customer intelligence and analytics efforts to thousands of models and terabytes of data a day? With industrialized modeling from SAS.
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The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
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Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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„Das IoT beginnt im Kopf“„Wir reden hier von Unternehmen, die sich ihren Marktstatus über Jahrzehnte durch exzellente operative Arbeit erworben haben. Ihnen jetzt klarzumachen, in Dateien ein wichtiges Kapital und Asset zu sehen, braucht seine Zeit“, Rolf Günthner, Head of Industrial Internet of Things bei der Swisscom.
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Was tun die Unternehmen derzeit in Sachen IoT?Intel und Cisco im Gespräch mit Lori Schafer, Executive Adviser for Retail and Consumer Packaged Goods bei SAS. Sie hat beide nach dem Potenzial von IoT-Applikationen gefragt. Sie wollte wissen, was derezit am Markt passiert und was der Handel tun sollte, um vom Internet of Things zu profitieren.
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Hannover Messe: IoT trifft RealitätWenn einem Kevin Ashton etwas sagt, könnte man meinen, die Hannover Messe hinke 20 Jahre hinterher. So hatte er vor fast 20 Jahren eine Vision von Computern entwickelt, die Informationen über die Fabrikation von Gegenständen sammeln, um vorherzusagen, wann die Dinge kaputtgehen. Diese Vernetzung heißt im Jahre 2017 Internet of Things (IoT).
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Außer KontrolleAnarchie der Maschinen in modernen Fabriken ist für manchen nur eine Frage der Zeit, wenn, ja wenn wir bei unseren visionären Bestrebungen unsere Fabriken zu digitalisieren und unsere Maschinen über Internetportale miteinander kommunizieren zu lassen das Thema Sicherheitskonzepte weiterhin stoisch vernachlässigen.
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Problemzone Zukunft"Ich kann nicht sagen, was morgen ist. Mein Kühlschrank schon. Er weiß, wie wahrscheinlich es ist, ob er morgen noch kühlt oder nicht." Mit Predictive Asset Maintanance kann es ihm das Windrad gleich machen.
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Analytic simulations: Using big data to protect the tiniest patientsAnalytic models help researchers discover the best way to care for babies in the NICU, saving lives (and millions of dollars) in the process.
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5 Challenges for IoT in the insurance industryIoT promises to substantially reduce losses in the insurance industry, but adoption is low. That will change when the industry overcomes these five challenges.
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Equifax uses trended data to better qualify loan applicantsMachine learning for credit scoring has helped Equifax analyze consumer data over time to determine which borrowers are trending in a positive direction and develop a more accurate measure than credit scores.
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Connected consumers, IoT and what retailers need to do nowThe IoT is impacting retail, with more to come. Experts from Cisco, Intel and SAS discuss what's happening now, and what retailers need to do next.
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5 IoT applications retailers are using today The Internet of Things can bring big benefits, but what is IoT and how are retailers taking advantage of it?
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See IoT industry examples in actionHow can analytics unlock the limitless possibilities in the Internet of Things?
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An executive’s guide to cognitive computingCognitive computing is the latest buzzworthy term that everyone seems to be talking about in the technology industry. But can machines really think?
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Smart cities, smart energy solutions – thanks to the IoTFind out how Envision America and CPS Energy are using the IoT and analytics to make cities smarter and transform energy programs.
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Broken promises? Avoid IoT traps with an analytics platformHow can you realize the promise of the Internet of Thing? By using an analytics platform to sense, understand and act on streaming data.
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Coming soon: The Industrial Internet and IoT standardsFrom smart farms to connected water meters, the IIoT party is happening – with consensus around IoT standards playing host.
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Exploring the sun with big dataResearchers working for NASA are using automatic, exploratory and visual analysis of big data to help understand the mysteries of our universe.
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A brave new world of analyticsMike Frost from SAS explains how a modern analytics platform can help make sense of the new, complex data reality.
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The future of embedded analyticsYou can find embedded analytics in fraud detection systems, cybersecurity solutions and many other areas. Learn how the use of embedded analytics is evolving.
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Chief data officer role shakes up traditional data governanceDoes every organization need someone in the chief data officer role to manage data governance?
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Why you need asset performance analyticsPredictive maintenance is not new, but its use is surging in asset-intensive industries. Find out what’s driving the renewed interest.
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Applying machine learning to IoT dataLet’s move beyond theoretical discussions about machine learning and the Internet of Things – and talk about practical business applications instead.
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Getting the right people on the big data busLaunching a big data initiative requires rethinking not only data and systems, but people. And it's about time, says Jill Dyché.
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8 ways an enterprise data strategy enables big data analyticsAnalyzing big data can reveal new insights and strengthen business decisions. Here's why you need an enterprise data strategy to help you get there.
Big Data: The Basics
Was ist Big Data?
Für die meisten Unternehmen ist Big Data die eigentliche Geschäftstätigkeit. Es ist die Verarbeitung strukturierter und unstrukturierter Daten, die Ihr Unternehmen täglich überfluten. Wenn die Daten jedoch gut gemanagt werden, bieten sie wertvolle Erkenntnisse.
Stellen Sie sich vor, Sie könnten Daten analysieren, um die Ursache von Ausfällen bei Ihren Maschinen und Anlagen zu ermitteln. Oder Sie könnten betrügerisches Verhalten erkennen, bevor es sich auf den Umsatz auswirkt. Wenn Sie die richtigen Lösungen implementieren, um Ihre Big Data optimal zu nutzen – vom Datenmanagement bis hin zur Analyse –, kann sich dies entscheidend auf den Erfolg Ihres Unternehmens auswirken.
Weitere Informationen zu Big Data
Big Data Analytics
Da jeden Tag Unmengen von Daten Ihr Unternehmen erreichen, stellt sich die Frage „Was ist Big Data?“ nicht mehr. Die Frage lautet vielmehr: „Wie können wir Big Data nutzen?“ Selbstverständlich ist die Antwort wegweisend für die Zukunft Ihres Unternehmens. Mit Big Data Analytics können Sie Data Mining, prädiktive Analysen, Text Mining, Prognosen und Optimierung implementieren und so Optionen ermitteln und die besten Entscheidungen treffen.
Lesen Sie mehr über Big Data Analytics
Hadoop
Unternehmen, die enorme Mengen an Daten auf Plattformen wie Hadoop gespeichert haben, benötigen einen neuen Ansatz, um all diese Informationen effizient zu nutzen. An dieser Stelle kommt SAS® ins Spiel. Dank SAS Unterstützung für Hadoop profitieren Sie von den Business Analytics-Funktionen von SAS und können so über Datenmanagement, Datenvisualisierung und Analysen leichter Einblicke erkennen und Trends entdecken.
Weitere Informationen über Hadoop
Datenvisualisierung
Man sagt, sehen heißt glauben. Im Hinblick auf Datenvisualisierung müsste man allerdings eher sagen: „Sehen heißt verstehen.“ Wenn Ihre Daten in Diagrammen und Grafiken dargestellt werden, erkennen Sie plötzlich Dinge, die Sie nie zuvor gesehen haben. Trends. Fakten. Lösungen, die Ihnen einen Wettbewerbsvorteil verschaffen. Nun, da Big Data in den meisten Unternehmen weit verbreitet sind, ist die Visualisierung von Daten wichtig, um sie zueinander in Relation zu setzen.
Weitere Informationen über Datenvisualisierung
Internet of Things
Connecting our cars, homes, gadgets and machines to the Internet creates a network of connected objects called the Internet of Things. How can the data streaming to and from these objects be understood to benefit your organization, improve your daily routine or address society’s biggest challenges? Find out now.
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